This tutorial provides a comprehensive guide to data manipulation in R, covering essential techniques. It walks through common data manipulation tasks, including filtering, selecting, grouping, summarizing, and reshaping data. The tutorial includes practical code examples and interactive visualizations to help users efficiently clean and transform datasets for analysis. Ideal for beginners and intermediate R users, this resource enhances reproducible research and data-driven decision-making.

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